The students' progression and attainment gap are considered as key performance indicators
of many universities worldwide. Therefore, universities invest significantly in resources to …

Institutions of higher learning are currently facing the challenging task of attracting new
students who can effectively meet their diverse academic demands. With these demands …

Prediction of academic performance of students beforehand provides scope to universities
to lower their dropout rate and help the students in improving their performance. In this field …

Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

Academic success for students in any educational institute is the primary requirement for all
stakeholders, ie, students, teachers, parents, administrators and management, industry, and …

Research on predictive analytics has increasingly evolved due to its impact on providing
valuable and intuitive feedback that could potentially assist educators in improving student …

In recent years, Neural Network (NN) has seen widespread and successful implementations
in a wide range of data mining applications, often surpassing other classifiers. This study …

This study exploits three methods, namely the Back-propagation Neural Network (BPNN),
Classification and Regression Tree (CART), and Generalized Regression Neural Network …

Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …

Accepted: 21 October 2021 An important concern for students at all levels, from universities
to colleges to junior high and high school, is predicting academic achievement and …